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josegcpa/README.md

Hey 👋 I’m José, a researcher with the Computational Clinical Imaging Group at the Champalimaud Foundation. I am interested in developing robust predictive methods for (semi-)automated diagnosis and prognosis from clinical images and data.

Previously, I did my PhD with Moritz Gerstung and George S. Vassiliou at the EMBL-EBI and my MSc thesis with Irina Moreira at Universidade de Coimbra.

I am interested in deep-learning, computer vision and computational oncobiology. I am also a big fan of data visualization (i.e. Pure Ideology!, one of my favourite projects) and do some musical production on my free time.

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  1. haemorasis haemorasis Public

    Blood cell detection pipeline in peripheral blood smears

    Python 6 1

  2. wbs-prediction wbs-prediction Public

    Code repository for project focusing on blood cell detection and diagnostic prediction from peripheral blood slides

    R 1 1

  3. torch_nlm torch_nlm Public

    PyTorch-based implementation of non-local means with GPU support.

    Jupyter Notebook 6 1

  4. nnunet_docker nnunet_docker Public

    Utilities to run nnUNet more easily using containers

    Python 5 1

  5. CCIG-Champalimaud/adell-mri CCIG-Champalimaud/adell-mri Public

    A deep learning model and training/testing/inference library in PyTorch for segmentation, classification, object detection and self-supervised learning using radiology data.

    Python 9

  6. CCIG-Champalimaud/metadata-classification CCIG-Champalimaud/metadata-classification Public

    DICOM sequence classification for automatic dataset curation using metadata tags.

    Python 1